Étiquette : google (Page 1 of 32)

“Augmented reality allows us to spend more time focusing on what matters in the real world, in our real lives. It can break down communication barriers — and help us better understand each other by making language visible. Watch what happens when we bring technologies like transcription and translation to your line of sight.”

via Google – YouTube

Google Immersive view

“Today at Google I/O, we announced new ways the latest advancements in AI are transforming Google Maps — helping you explore with an all-new immersive view of the world, find the most fuel-efficient route, and use the magic of Live View in your favorite third-party apps.”

Source : Immersive view now in Maps — plus more updates

Messages, Dialer apps sent text, call info to Google

“According to a research paper, « What Data Do The Google Dialer and Messages Apps On Android Send to Google? » [PDF], by Trinity College Dublin computer science professor Douglas Leith, Google Messages (for text messaging) and Google Dialer (for phone calls) have been sending data about user communications to the Google Play Services Clearcut logger service and to Google’s Firebase Analytics service. « The data sent by Google Messages includes a hash of the message text, allowing linking of sender and receiver in a message exchange, » the paper says. « The data sent by Google Dialer includes the call time and duration, again allowing linking of the two handsets engaged in a phone call. Phone numbers are also sent to Google. »”

Source : Messages, Dialer apps sent text, call info to Google • The Register

Google AI Blog: Good News About the Carbon Footprint of Machine Learning Training

“We identified four best practices that reduce energy and carbon emissions significantly — we call these the “4Ms” — all of which are being used at Google today and are available to anyone using Google Cloud services.

  • Model. Selecting efficient ML model architectures, such as sparse models, can advance ML quality while reducing computation by 3x–10x.
  • Machine. Using processors and systems optimized for ML training, versus general-purpose processors, can improve performance and energy efficiency by 2x–5x. Mechanization. Computing in the Cloud rather than on premise reduces energy usage and therefore emissions by 1.4x–2x. Cloud-based data centers are new, custom-designed warehouses equipped for energy efficiency for 50,000 servers, resulting in very good power usage effectiveness (PUE). On-premise data centers are often older and smaller and thus cannot amortize the cost of new energy-efficient cooling and power distribution systems.
  • Mechanization. Computing in the Cloud rather than on premise reduces energy usage and therefore emissions by 1.4x–2x. Cloud-based data centers are new, custom-designed warehouses equipped for energy efficiency for 50,000 servers, resulting in very good power usage effectiveness (PUE). On-premise data centers are often older and smaller and thus cannot amortize the cost of new energy-efficient cooling and power distribution systems.
  • Map Optimization. Moreover, the cloud lets customers pick the location with the cleanest energy, further reducing the gross carbon footprint by 5x–10x. While one might worry that map optimization could lead to the greenest locations quickly reaching maximum capacity, user demand for efficient data centers will result in continued advancement in green data center design and deployment.

These four practices together can reduce energy by 100x and emissions by 1000x.”

Source : Google AI Blog: Good News About the Carbon Footprint of Machine Learning Training

“The Mandiant brand is synonymous with unmatched insights for organizations seeking to keep themselves secure in a constantly changing environment,” said Thomas Kurian, CEO, Google Cloud. “This is an opportunity to deliver an end-to-end security operations suite and extend one of the best consulting organizations in the world. Together we can make a profound impact in securing the cloud, accelerating the adoption of cloud computing, and ultimately make the world safer.”

Source : Google to Acquire Mandiant | Mandiant

Retourner à l’accueil CNIL.FR

“Google Analytics permet de disposer de statistiques de fréquentation d’un site web. Saisie de plaintes par l’association NOYB, la CNIL, en coopération avec ses homologues européens, a analysé les conditions dans lesquelles les données collectées grâce à cet outil sont transférées vers les États-Unis. La CNIL estime que ces transferts sont illégaux et impose à un gestionnaire du site web français de se conformer au RGPD et, si nécessaire, de ne plus utiliser cet outil dans les conditions actuelles.”

Source : Utilisation de Google Analytics et transferts de données vers les États-Unis : la CNIL met en demeure un gestionnaire de site web | CNIL

https://www.leparisien.fr/resizer/ZHGO91y9tOG6D1mmG3rJDuG-Q1Q=/932x582/cloudfront-eu-central-1.images.arcpublishing.com/leparisien/UWPWTXUZOVFDFNGTERI4OIABC4.jpg

“À quelques semaines des fêtes de fin d’année, et alors que les Français préparent activement leurs courses de Noël avec en ligne de mire le Black Friday ce vendredi, le couperet est tombé. Selon nos informations, après plus d’un an d’enquête et des mois de relance avec la plate-forme de vente en ligne, la Direction générale de la concurrence, de la consommation et de la répression des fraudes (DGCCRF) ordonne à partir de ce mercredi matin de déréférencer le site américain Wish. […] Une deuxième procédure, cette fois judiciaire, est en effet en cours d’instruction depuis un an pour « pratiques commerciales trompeuses ». La peine pourrait être lourde pour Wish : deux ans de prison et une amende allant jusqu’à 10 % du chiffre d’affaires.”

Source : Répression des fraudes : Wish va disparaître des moteurs de recherche en France – Le Parisien

Au nom de l’éthique Google, IBM et Microsoft, ont renoncé à des projets IA

cerveau en circuit imprimé sur fond de planète terre

“Google, Microsoft et IBM mettent en avant ces différents cas pour rassurer le grand public et les autorités face à une technologie qui a connu ses casseroles. Entre les possibilités de surveillance de masse ouvertes par la reconnaissance faciale, les biais d’IA racistes, il n’est plus utile de mobiliser la science-fiction pour s’interroger sur l’IA.Les entreprises technologiques l’ont rapidement compris, Microsoft a ouvert son Comité éthique en 2017, Google et IBM en 2018. Insuffisant pour les associations de défenses des droits. Selon Jascha Galaski, chargé de plaidoyer pour l’Union des libertés civiles pour l’Europe, les comités éthiques manquent encore d’indépendance et de transparence. Il estime « utopique » qu’ils finissent par le devenir d’eux-mêmes.”

Source : Au nom de l’éthique Google, IBM et Microsoft, ont renoncé à des projets IA

“We’ve enhanced Android’s auto-rotate feature with face detection, using the front-facing camera to more accurately recognize when to rotate the screen. This is especially helpful for people who are using their devices while lying down on a couch or in bed, for example. For developers, this means that the auto-rotation behavior will provide a better user experience for users who have opted in through Settings. The enhanced auto-rotate feature lives within our recently announced Private Compute Core, so images are never stored or sent off the device. In Beta 3 this feature is available on Pixel 4 and later Pixel devices.To make screen rotation as speedy as possible on all devices, we’ve also optimized the animation and redrawing and added an ML-driven gesture-detection algorithm. As a result, the latency for the base auto-rotate feature has been reduced by 25%, and the benefits of the face detection enhancement build on top of those improvements. Give the auto-rotate improvements a try and let us know what yo”

Source : Android Developers Blog: Android 12 Beta 3 and final APIs

AI Explorables | PAIR

“The rapidly increasing usage of machine learning raises complicated questions: How can we tell if models are fair? Why do models make the predictions that they do? What are the privacy implications of feeding enormous amounts of data into models? This ongoing series of interactive, formula-free essays will walk you through these important concepts.”

Source : AI Explorables | PAIR

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